November 5, 2025 • 35 mins
What if I told you the most powerful business team in the world might just be… you and your laptop? Jon explored how AI solopreneurs are building million-dollar empires from their kitchen tables — and the smart, safe ways to join this revolution.
👉 Watch this episode on YouTube: www.youtube.com/@thejonsanchezshow
👉 To learn more about retirement planning and wealth management in Reno, visit: sanchezgaunt.com
Compliance Disclosure: This program is for informational purposes only and should not be considered investment, tax, or legal advice. The views expressed are those of the participants and may not reflect the views of Sanchez Gaunt Capital Management. Investing involves risk, including the possible loss of principal. Past performance is not indicative of future results. Always consult with a qualified financial professional regarding your individual situation before making financial decisions.
👉 Watch this episode on YouTube: www.youtube.com/@thejonsanchezshow
👉 To learn more about retirement planning and wealth management in Reno, visit: sanchezgaunt.com
Compliance Disclosure: This program is for informational purposes only and should not be considered investment, tax, or legal advice. The views expressed are those of the participants and may not reflect the views of Sanchez Gaunt Capital Management. Investing involves risk, including the possible loss of principal. Past performance is not indicative of future results. Always consult with a qualified financial professional regarding your individual situation before making financial decisions.
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Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Good Monday afternoon to you.
Speaker 2 (00:01):
Welcome to the John Sanchez Show one News Talk seven
eighty k which it's a pleasure to be with you
and a pleasure to be with my co host, mister
Jason Cat. How you doing big jap Monday.
Speaker 3 (00:10):
Yeah, I'm doing well. Happy Monday, Happy Monday.
Speaker 1 (00:13):
Yeah.
Speaker 2 (00:13):
See, I'm entrusted with one thing. Produce the show for
once since Bailey's out of town, and I screw it up,
screw up our opening. But you know it'll only get
better as we.
Speaker 3 (00:22):
Goo anything matters.
Speaker 1 (00:25):
I appreciate that. Just can't press the right buttons, that's
what was going to happen. I knew it was too easy.
I knew it. She's like, oh, you just pressed this
and do that?
Speaker 3 (00:34):
Like, yeah, right there, we need AI for all things.
Speaker 1 (00:36):
There you go. I want to record the John Sanchez Show.
Speaker 2 (00:40):
Yes, everyone, absolutely, well, thank you for your patience, folks.
I do appreciate it. Sorry for the screw up on
my part, no doubt about it. All righty folks, let
me tell you what we have Landau for you. Bailey
and Dennis are on.
Speaker 1 (00:56):
A flight Toquitar right now.
Speaker 2 (00:58):
Jason and I were produce in our own show and
we're playing the AI Doctor.
Speaker 1 (01:03):
We're gonna do it all today, Jay, We're gonna do
it all today, all right.
Speaker 3 (01:06):
I will try my best.
Speaker 1 (01:07):
Yeah, indeed, indeed, I can. You know.
Speaker 2 (01:09):
I look younger than my brother, but I sound like him,
so yeah, no one's gonna know the difference. All right, folks,
let me tell you what we do have lined up
for you this Monday afternoon. We're of course going to
go through today's stock market recap for you, give you
the details as to what happened, and then we're going
to get into our AI segment, as we do each
and every Monday normally, get doctor Dennis Sanchez, the AI
Doctor is here with us, but as I said, he
has gone today and he'll be gone next Monday. So
(01:32):
here's the question, folks, what if I told you the
most powerful business team in the world might just be
you and your laptop. That's right, that's all it takes,
you and your laptop. Well, today, Jason and I are
gonna explore how AI solopreneurs are building literally multi million
dollar empires from their kitchen table, from their van sitting at.
Speaker 1 (01:56):
The beach out on the ocean, and a cabin up
in the mountains. It doesn't matter where they are, Jason,
they're doing it.
Speaker 2 (02:03):
We're gonna cover the smart, safe ways that you can
join this AI revelation.
Speaker 1 (02:09):
It's it's amazing to.
Speaker 2 (02:11):
Hear these stories over and over and over, Jason, and
read about them, hear about them, et cetera. Of these
people just again staggering, staggering sums of money. They're making, happiness, freedom,
I mean, everything that you ever wanted in a business.
They are doing this now thanks to AI. And so
we're gonna help our audience do that. We're gonna we're
(02:32):
gonna break this down into a couple of different things.
Speaker 1 (02:34):
Here's here's kind of a few things we're gonna be discussing.
Speaker 2 (02:38):
First of all, we're gonna go back for those of
you that may be new to the show, you know,
and it's just been a second, talking about what is
the AI solopreneur. Right, We're gonna kind of give you
the definition, talk about it for a few of the
different industries that are out there.
Speaker 1 (02:50):
Then we'll move into the power tools of the.
Speaker 2 (02:52):
AI solopreneur, Right, what are they using to make these
multimillion dollar businesses. Then we'll talk about how AI multiplies
time and applies talent and then the smart side of
the revolution, right, what are the dangers that you have
into it? But also what's the smart side? So how
do you build this correctly? You know what I really
wanted to do today Jason and Jason in Dennis's absence,
(03:13):
But maybe next Monday we'll do So here's what I
really wanted to do.
Speaker 1 (03:18):
I wanted to.
Speaker 2 (03:20):
Give out the invitation for a bunch of people to
be able to join us on our video call right now, okay,
and have them join us and right in front of them,
build a business for them right on the show.
Speaker 1 (03:30):
That's how fast and.
Speaker 2 (03:31):
How easy you can build a business with AI literally
within a matter of an hour at the very most.
I mean sometimes it can be much sooner. Wouldn't that
be such a cool thing? So well, maybe try to
do that next Monday.
Speaker 3 (03:42):
Yeah, I like it. It sounds a good thing, you know.
Speaker 4 (03:44):
I mean, I think it's helped entrepreneurs in general, yes,
to get through a lot of the roadblocks that they
historically would have had in you know, I have an idea,
but I have no freaking clue on how to do it,
how to market it, how to build the business planets,
and these tools that you and Dennis have done a
great job going through helped make a lot of that
(04:05):
pretty darn easy for sure.
Speaker 1 (04:06):
Yeah, it really does, It really does.
Speaker 2 (04:08):
And if you've missed any of the AI segments, go
back and listen to our podcast. And again, this has
just given us just a ton a ton of information.
But it's gonna be a fun topic. I can't wait
to have been looking forward to this all day. So
with that said, my friend, the floor is all years.
How about a nice little market recap for this Monday afternoon.
Speaker 4 (04:24):
Yeah, I mean today felt a lot like yesterday, and
felt a lot like the day before, and this is
the market's trapped.
Speaker 3 (04:30):
Well, I just tall trading days. Yeah, I mean I
don't even really.
Speaker 4 (04:34):
Have Saturdayay, just a lot of you know, the markets
really sort of hovering around these levels. It's been going
on for one, two, three, four, five, going on about
six seven trading days where we're trapped in this range
on the S and P five hundred and lacking a
real catalyst to break us higher.
Speaker 3 (04:55):
And that's the tougher part.
Speaker 4 (04:57):
And unfortunately, interest rates are the only thing that seem
like they want to be breaking higher, and.
Speaker 3 (05:02):
That's causing a bit of concern.
Speaker 4 (05:04):
Right the boo bears are winning a bit on the
fear side. You had the Vicks today that did end
up lower at the end of the day, but was
trading above nineteen earlier in the session. As interest rates
continue to trickle up, given that Jerome Powell walked back
some of the you know, it's say excitement of further
(05:25):
rate cuts this year, not to say that they're off
the table, but that they're halfway hanging off the table,
and so the market's trying to digest that. Small caps
areas that people have been reallocating towards were under some
pressure today, not demonstrably, but it was a you know,
looking at biotech and small caps in general, there wasn't
(05:46):
a lot to be excited about outside of the normal
MAG seven area. That's I mean, it's forty two percent
I think Mag seven plus.
Speaker 2 (05:56):
I was just talking to the client today before they showed.
I'm like, yeah, let's check, it was about twenty six.
So now it's forty two huh.
Speaker 4 (06:03):
Yeah, of the market cap of the S and P
five hundred and so it's not to say that, you know,
going back and seeing a couple of different studies that
when things become this concentrated doesn't necessarily mean that things
go down. It's just that you need a handful of
things to continue to be strong, even though we try
to break away from that. Right, let's buy small caps next,
(06:24):
or let's buy areas that can benefit from AI, and
then everyone just tends to just go back to what
they're used to of buying the you know seven eight
horsemen of the Apocalypse and you know a win to it.
Speaker 3 (06:37):
Right.
Speaker 4 (06:37):
It's there's a lot of names that are underperforming to
the tune of twenty plus percent relative to the S
and P this year, while these others continue to sort
of charge ahead.
Speaker 3 (06:46):
So it's you know, good to see some mergers, right.
Speaker 4 (06:50):
You had ken View, which is the spinoff from Johnson
and Johnson get bought by Kimberly Clark. It was looking
through earlier today some of the names that Kenview owns,
Tyler and all, which I would imagine Kimberly Clark was
very happy to see the negative comments about it and
all the can you know, proven or unproven things around uh,
(07:10):
you know, birth issues that obviously we've been dealing with
with Twannel, but nutrigena listine band aid A, Veno, Zertech, Motron, Benadryl,
Pseudo fed. You know, there's a lot of names in
that bucket that was spun off. And so to see
conglomerates like that be able to bind together, which historically
probably would have been pushed back on by the prior administration.
(07:32):
You're going to see I think more and more M
and A over the next year. So that's always i'd say,
good to see when you've got some companies getting together
with some synergies. You have Palenteer after the close that's
been the I would say the horsemen of the you know,
aggressive aggressive growth trade that stocks trading. You know last
(07:54):
I look, I think it was higher than the close.
Uh Palenteer maybe a touch lower now two oh three
and changed last off a two oh seven clothes. But
their numbers were good, their guidance was good. I think
it's enough to at least near term, keep the keep
the stock going. They could have certainly laid an egg,
but they didn't. And this is a little bit of
profit taking. But overall, the interest rates are a bit troubling.
(08:18):
I don't want to see they're not scaring me, but
just the fact that you're not seeing us really tip
heavy into the three percent range, calls to concern some
of the thoughts that people thought, maybe know real estate
would pick up with lower interest rates refinance seven.
Speaker 3 (08:34):
Yeah, it has, and I think that's something.
Speaker 4 (08:36):
That will continue to be at least, you know, a
big area that we would be nice to have and
all the things that would come from it. But right
now we're sort of bound here and not quite sure
which way this market wants to break. And hopefully it's higher,
but it's already moved up quite a bit. But remember
we're into the strong.
Speaker 3 (08:54):
Part of the year.
Speaker 4 (08:55):
November, December into next year tend to be the six
strongest months of the year, even seasonally the end of
the year.
Speaker 1 (09:02):
The strongest month.
Speaker 4 (09:03):
Correct yep, So lots of tail wins, but also quite
a bit of wall of worry that I think the
market's trying to figure out.
Speaker 2 (09:09):
Yeah, absolutely, all right, we come back from this break,
we'll tell you some of the big movers of today's
market activity, i e. Amazon, Nvidia, what happened? More deals
were struck and boy do I have some data to
share with you. I'm gonna surprise you, mister gott You're
gonna be surprised. At the amount of deals that are
being done in this space and again just propelling this
market higher or at least those names. All right, well
(09:32):
we come back, we'll cover that and get into our
topic once again. The most powerful business team may be
just you.
Speaker 1 (09:38):
That's right, all.
Speaker 2 (09:39):
Right, turned over to Christen Snow she's in the right
now traffic center. Hello, Christen, Welcome back to the John
Sanchez Show on News Talk seven to eighty k which
with Jason gott All right, here's how we finished up,
once again, a tale of divergy markets. Weakness on the
Dow strengthen the nasdacup excuse me, down to twenty six
point four eight percent loss on the Dow to a
close of forty seven thousand and three thirty six Nazak
(10:01):
rows one hundred and ten point four to six percent
to a close of twenty three thousand and eight thirty
four and up twelve is all on the s and
p five hundred, six thousand, eight hundred and fifty one.
Well for the day, just have five cent gain to
sixty one dollars. A barrow gold rose seventeen dollars and
sixty cents to four thousand, thirteen dollars. And sixty cents
announce and quiet in the bond market. Just a one
basis pointy increase on the tenure tool close of four
(10:22):
point one one percent. All right, we're gonna get to
our AI segment here in just a moment. Once again,
the most powerful business team may be just you. But
in the meantime, let's talk a little AI. So, Jason,
you were giving us a great recap as always right
before the break, and let's talk about one of the
big winners today, one of the big movers, one of
the big winners today. That's our friends over at Amazon
(10:43):
Stock rows four percent, nine dollars and seventy eight cent
gain to two hundred and fifty four dollars. Navidia four
dollars and thirty nine cent increase two point one seven
percent to two oh six eighty eight. Well, here was
the catalyst that happened today with both of those companies.
Speaker 1 (10:59):
Here we go. Listen closely, folks.
Speaker 2 (11:02):
Amazon today their cloud unit asure of course, or excuse me,
aws AWS signed a thirty eight billion dollar deal to
supply a slice of open AI is the parent of
Chat GPT. Of course, bottomless demand for computing power. The
Chat GPT maker is going to pay Amazon Web Services
(11:23):
for access to hundreds of thousands of Navidia graphic processing
units better known as GPUs, as part of a seven
year deal the company's announced today. The arrangement is the
latest indication of open ais transformation from a research lab
to an artificial intelligence powerhouse that has reshaped the tech industry. Now, Jason,
(11:45):
you and I were chatting, so it's no longer a secret.
But folks, take for a moment, and as you hear
Jason and I talk about almost like daily, it seems
like the amount of deals that open ai has committed
to all right times up, here's the number. Open ai
has committed to one point four trillion dollars of infrastructure
(12:09):
build out and power to its AI models. Unprecedented binge that,
of course, has prompted some concerns that we may be
in an AI investment bubble. So think about this for
just one second, folks, one company, Jason, what was the revenues.
Speaker 3 (12:30):
UH thus far in twenty twenty five? Thirteen billion dollars
with a B just a billion.
Speaker 2 (12:37):
Now on the hook for one point four trillion dollars.
Go back to the numbers A little Yeah.
Speaker 3 (12:45):
That's tough. That's that's there's some yeah, that's leverage.
Speaker 2 (12:50):
There's just a just a little bit yeah of issue
going on with that one.
Speaker 1 (12:57):
Now, the the.
Speaker 2 (13:00):
Interesting fact about this is this one point four trillion
dollars is really really spread among a number of different companies. Right,
It's not just Amazon, It's not just this, It is
spread out among a number of companies.
Speaker 1 (13:22):
And Jason, let's.
Speaker 2 (13:22):
Just play little devil's advocate here, right, And it's always
fun to do that. And by no means are we
saying that this could happen. Let's walk through a scenario
that if something God forbid happens to Open AI or
Sam Alton their genius behind it, or something along those lines.
Let's talk to just for a moment about what the
ecosystem would happen in the AI structure if all of
(13:46):
a sudden Open AI couldn't pay their bills. And then
I'll go through what each of the major tech companies
have spent or committed to with open aian.
Speaker 4 (13:55):
I think Microsoft comes to mind first. That would be
the one that I'd be the most concerned about. They
have a big stake in them. I know they did
just at a capitalization of some kind that how much
is the Microsoft one hundred and sixty five So the
valuation for open life that was.
Speaker 1 (14:12):
Last That was last week. That was last week.
Speaker 4 (14:15):
So op open AI's valuations five hundred billion from sort
of recent deals, et cetera.
Speaker 1 (14:20):
Right, I'm just trying to think a point for a trillion.
Speaker 4 (14:23):
Right, So yeah, I mean Microsoft, obviously, Amazon, and Vidio.
Speaker 3 (14:30):
AMD.
Speaker 1 (14:31):
Let me give you the numbers. Let me give you
the numbers. Let me give you the numbers. Here we go.
Speaker 2 (14:34):
Here's what makes up the one point for trillion dollars
that open ai is committed to. Okay, we'll start with Oracle.
You will remember these stories. They've happened over the last
month or two. Not not old stories by any means.
So chet GPT's on the hook with Oracle for three
hundred billion dollars open ai. Oracle agreed to develop up
to four point five gigawatts of data center capacity. Okay,
(14:56):
three hundred billion to Oracle, Microsoft two hundred and fifty billion.
Open ai makes additional commitments to Microsoft as your Google
undisclosed them out. Open ai added at Google Cloud to
a list of providers powering chat GPT AMD an undisclosed amount.
Open Ai to deployee six gigawatts of AMD graphic processing units,
(15:17):
core Weave up to twenty two point four billion. That's
a small kid in the house. Open Ai expands data
center capacity agreement with core Weave Broadcom tens of billions
of dollars.
Speaker 1 (15:28):
Don't even know the exact amount. They say tens of
billionsts watts.
Speaker 2 (15:31):
Open Ai agreed to buy custom chips and networking components
from Broadcom. And then today's deal with Amazon thirty eight billion,
where AWS is going to provide open Ai with hundreds
of thousands of Navidia chips. Jason, that's a lot of money.
One point four trillion. Now, is this company growing rapidly? Yes,
But folks like we have always warned during this great
(15:55):
AI boom, and it's phenomenal. I mean, it is definitely
propelling the market. It's building up your portfolios, so on
and so forth. But what we have to be cognizant
about is if one of these players, they're all on
the hook for a lot of money, even right, Jason,
even even a Microsoft on the hook for two hundred
and fifty billion plus. That doesn't even account for their investments.
(16:16):
I forget how many billion.
Speaker 4 (16:17):
Yeah, the one hundred and forty billion roughly, is the
is the investment of the company.
Speaker 2 (16:24):
So you're talking between that in the two hundred and
fifty billion I just mentioned. So Amazon or excuse me,
Microsoft is in bed with with open Ai for we'll
call it a half a billion right between what they've
invested and what they've committed. So the bottom line is
these are all substantial numbers that if one little hiccup occurs,
(16:44):
whether it's on open Ai side, or Oracles or Microsoft
or any of these other major tech companies, this thing
could unravel faster than we could shake a stick. That's
what we have to be worried about. That's what I
was discussing with one of our clients right before the show.
Jason's like, I go, you know what, what's the risk
of the market right now? And I said, yeah, Marcus
is already pricedtand even though the FED said no more
rate cast, we've got that issue. Blah blah blah blah,
(17:04):
earnings are still good, I said, But it's the open
it's the Ai issue, right. This thing is we discussed
till we're blue in the face, the circular accounting and
so on and so forth, and now when this number
finally came out. One point four trillion dollars of open
Ai is on the hook. For that is a substantial
sum of money, and so God help us if something happens.
Speaker 1 (17:23):
That's all I can say. Hopefully our worries are for.
Speaker 2 (17:26):
Nothing, Jason, right, you and I worry about this all
the time. Hopefully our worries are for nothing. And this
will be in if this is successful.
Speaker 1 (17:34):
Let's leave you to the one point.
Speaker 2 (17:35):
If this is successful, it will go down as one
of the greatest new obviously new technologies, but greatest companies.
I mean again, open Ai folks is not publicly traded,
so we can't really see a.
Speaker 1 (17:46):
Lot of the data.
Speaker 2 (17:47):
But if it comes through as it's anticipating, Man, oh man,
what a story this is going to be for the
history books.
Speaker 4 (17:53):
Yeah, I mean in video is a five trillion dollar company,
so you know we should shave twenty percent off in
video and we're all good.
Speaker 2 (17:59):
Right, just borrow more to borrow more. I didn't. I
was thinking about you yesterday. I was watching having some
coffee time in the morning, and I had YouTube on
on my TV as I always do, and I came
across a great documentary is by Business Insider folks, and
I highly recommend. It's about a I don't know, twenty
(18:20):
five minute documentary on the AI data centers. And it
was absolutely fascinating Jason to see what's inside these and
they have a hard time getting in. So one thing
this story real quickly said was it's a big secret, right.
You don't know when you see a big data center,
(18:42):
you don't know who it really is. And so what
Business Insider did is they it was pretty smart. They said, well,
wait a minute here, these data centers have to have
backup generators, and it looked like most of them are
cap So what Business Insider did is they went to
the air pollution districts where these data centers are, because
you have to have a permit for these generators. And
(19:04):
so then they backtrack and to find out it is fascinating,
fascinating where these things are. And the gist of the
of the whole story was how in Virginia specifically, AWS
is putting up these massive data centers, which, by the way,
hardly employ many people. Twenty thirty people, right, that's it.
It's hardly anything but the hum that the air conditioning
(19:27):
units and the GPUs are putting out I mean they
measure the sound and people these neighbors interview. These neighbors
are like, we can't sleep at night, right, my kid
can't go I can't go to sleep. Yeah, it's something
we never think about. And you can hear that hum.
And so Amazon, they this neighborhood group tried toe in Amazon.
Amazon said, okay, you know, let's try to fix this,
and they put some chimney stacks on these hundreds or
(19:50):
however many AC units on the top.
Speaker 1 (19:52):
Of these buildings. Didn't do any good.
Speaker 2 (19:54):
But these things, Jason, are popping up anywhere or everywhere,
and they're trying to get to of course, trying to
be as close to the artery of the internet, right
the main highways. That makes sense, yep. But they're popping
up in Wyoming. I mean literally out in the middle
of nowhere, on the middle of farmland, here comes the
(20:15):
data center. And so I think it said there's eighteen
hundred this I don't know how old this video was.
I don't think it was too old, but you know,
at that time there was eighteen hundred data centers and
they had a map of where they all are. But
they're just popping up everywhere in neighborhoods out in the
middle of nowhere. It's gonna be mind boggling to see
how many of these things are finally built, you know,
I mean, where does it stop right? They've got us
(20:36):
hooked on AI. Where does it stop right? We're just
gonna want more and more. We're gonna need more computing
and so on and so forth. So it's an amazing story.
But yeah, highly recommend you pick up that video and
then watch it on YouTube, all right, and start over
to Jack Saban.
Speaker 1 (20:49):
He's got news trafficking winter.
Speaker 2 (20:50):
Hey, Jack, welcome back to the John Sanchez Show on
his top seven to eighty k O which with Jason
once again, we finished out to twenty six on the
Dow Road one O nine actually ten excuse me, on
the Nastac and hire by twelve on the.
Speaker 1 (21:04):
S and P five hundred. The most powerful business team
is you.
Speaker 2 (21:09):
You and maybe that laptop or iPad, whatever it is
that you use. That's what we're gonna teach you this
afternoon on the John Sanchez Show.
Speaker 1 (21:15):
Why are we doing this?
Speaker 2 (21:16):
Well, of course it's AI Monday, so we always like
to bring you what's going on in the world of AI.
Speaker 1 (21:20):
We just told you.
Speaker 2 (21:21):
You know again, this the massive spin that was announced
today by Amazon in the world of AI and Microsoft
and everybody else. But let's bring it down to your level,
the solo AI preneur or AI solo preneur.
Speaker 1 (21:35):
It's amazing what's going on.
Speaker 2 (21:36):
And Jason, I want to start this with a with
a little story and then we're gonna get into again
why you can be the most powerful business team ever,
just you and yourself.
Speaker 1 (21:48):
So here's the story.
Speaker 2 (21:49):
Fellow by the name of Daniel nigen In I think
a probably mispronouncing name n g u y e n Okay,
it's a company called bolt Ai.
Speaker 1 (21:57):
Okay, here's the story real quick.
Speaker 2 (22:00):
Daniel was a solo founder who had built several small
projects with little success. Then he launched bolt Ai, a
Mac app powered by AI. Before bolt he had challenged
himself to ship eight products in eight months, a launch fast,
learn fast strategy. But when his product, bolt Ai took off,
it quickly generated ten thousand dollars in single sales and
(22:23):
five thousand dollars in reoccurring monthly revenue. Within a short time,
it grew to about sixty five thousand dollars a month
in revenue, with roughly ninety one percent margins. And he
did it entirely solo, no employees, no investors. And this
was an article that was in Forbes that I found. Now,
(22:44):
why did this work for Daniel, Well, he stopped chasing
random AI projects and focused on something he himself needed,
a real problem. And Jason, this is one of the
big issues that there's so many things you can do
with AI. Right again, you can sit down and write
a business plan of no time. One of the challenges
that it creates for many people, especially those of us
that just love business in general, is it can lead
(23:06):
you down a lot of different paths, and eventually what
you have to do is you have to choose one
of these paths. And that's what this Daniel fellow did.
He's like, Okay, I'm going to focus in on one
thing and I'm going to be really really good at it.
Speaker 1 (23:18):
Right, Yeah.
Speaker 4 (23:20):
I Mean the tough part though, too, right, is I
think you hit it is with all of these things.
Speaker 3 (23:25):
You need to have a jumping off point.
Speaker 4 (23:27):
Right, you can sit in analysis paralysis yourself into a
vortex of some kind. I think utilizing it in a
way that helps augment a plan that you had in
place is the right thought versus having this thing come
up with all these you know, hey, you could do this,
you can do that, you can do this, and here's
(23:48):
a business plan.
Speaker 3 (23:48):
Okay, well great? Is there a market for that?
Speaker 2 (23:51):
Right?
Speaker 4 (23:51):
And those are the things like with everybody is you know,
don't be a solution searching for a problem. You have
to be the other way around, you know, with everyone.
A lot of these stories from AI et cetera. They
tend to be you know, technology focused in many ways,
but not always. But I think the part that's great
about it is the ability to create a business plan
(24:15):
and even ask it, you know, how do I avoid
hiring people right with this? You know, how do I
utilize you or utilize this system to create things that
normally I would be hiring a person, place or thing
to fill for. So it is it's you know, it's
it's awesome the toolkit. It's just you need to be
(24:36):
really you need to be pretty concise and firm about
your time commitment because I think a lot of people
may spend too much time just you know, going down
the rabbit hole, like.
Speaker 3 (24:47):
You've talked about a bunch of times.
Speaker 4 (24:48):
Yeah, So that's that's the part that I like to
at least start out talking about because it's hard, you know, it.
Speaker 2 (24:54):
Is it well, it's it's it's it's so tempting, right,
It's like someone on a diet that just went to
a buffet.
Speaker 1 (24:59):
It's like, Oh, I can do that one. I can
do that one. You know, I want that. I want
that one. I want that. Yeah, exactly, Yeah, focus it down.
Speaker 2 (25:04):
But you hit on something really key that I want
to kind of start the discussion with, and that is
find You said this, find a problem and solve it.
Speaker 1 (25:13):
Right.
Speaker 2 (25:13):
So his case, I don't know exactly what his bolt
AI with the product is, but obviously he solved a problem.
And you know, if you go into it, you know
as far as what made this really work well, he
stopped chasing random AI projects focus on something he himself needed,
a real everyday problem that AI could solve efficiently. Because
(25:35):
I promise you, folks, if there's a problem or something
you're not happy with a product, a service, et cetera,
I promise you, if you're not happy with it, there's
probably thousands, if not millions of other people that are
in the same boat. So if you can use AI
to solve that, there you go, and that's exactly what
he did. Uh. He used AI as a force multiplier.
What I mean by that, well, he used AI for coding,
(25:57):
for marketing, for support, for automation, effectively replacing, you know,
a pretty good sized team. This kept the costs extremely
low and allowed them to move fast. Let me remind
you he operated on a ninety one percent profit margin.
You can't do that if you have brick and mortar,
you can't do that if you have employees, et cetera.
But ninety one percent profit margin. To your point about speed,
(26:18):
so you know, instead of waiting for the perfect product,
he launched quickly, gathered feedback, and refined it weekly. Now
this is something that is really interesting, folks. Back to
Jason's point and exactly what this gentleman did. We all
tend to want to create and I am so guilty
of this. You want to create the perfect product or
the perfect solution. And what I keep seeing over and
(26:42):
over and over again, Jason, with these successful solorepreneurs.
Speaker 1 (26:46):
Is they we'll give you. I'll tell you then I'm
going to tell you what I just had happened to me.
Speaker 2 (26:56):
They build it, or let me say, they advertise as
if they have the product built, and then what they
do is they test the waters. Because again with AI, folks,
it will literally create an entire let's say, social media campaign.
What a social media post cost you basically nothing, right
unless you buy some ads or something like that. So
they'll use social media in AI to go out and
(27:17):
do your posts in all the major social media sites
and see what the feedback is. If the feedback is strong,
then they will build the product or the service. In
the old days, we would have to do it the
other way. We would actually spend the time and the
money in the capitol to build a product or service
and hope, like heck, that someone wants it. That's not
the way it is anymore. With AI. You advertise it
(27:39):
as if you had it, and then if the demand
is there, then you build it. Listen, I watched this, actually, yeah,
watch it was a webinar with this lady. Dennis turned
me on to her. He attended a webinar she had.
This was a couple of weeks ago. And this woman
is a one I shouldn't say one woman wrecking machine
(27:59):
because she had an assistant behind her that you can see.
But Jason, she her focus using AI is to build courses,
courses for all kinds of different things. Right, everybody wants
to get smarter in certain things. So she was so
successful or lest she said that she now sells how
to build courses for people.
Speaker 1 (28:22):
So this woman is what she claims.
Speaker 2 (28:25):
So it was like twenty five hundred dollars to buy
her course on how to build courses. So you know,
you pay twenty five hundred bucks. And when Dennis was
listening to the webinar earlier in the day, I listened
to it at night and she goes, well, we you know,
we just had our thousandth buyer of the course. So
that woman just made two hundred and fifty thousand dollars
(28:45):
if it's true, within that hour long webinar, right, And
so it just continues over and over again. And this
woman sat there for about two hours on this webinar,
and I thought she was an AI bought to be
honest with you, because she never missed a beat. And
then finally towards in, she goes, I just want to
let you guys know, I'm not a bot. I'm a
real person, you know. But she she had it down,
(29:06):
but she made like I said, two hundred and fifty
thousand dollars within a matter of you know, a couple hours,
and she could never have done that without AI.
Speaker 1 (29:14):
So we'll continue our discussion.
Speaker 2 (29:16):
Let's wrap it up with Jackson or excuse me, with
christin snow right now traffic Center. Kristen, Welcome back to
the John Sanchez Show on News Talk seven eighty k.
It's with Jason Gatton. Once again, we have been talking
about the most powerful business team maybe just you. Now,
as I've mentioned the beginning of the show, my brother
is on his way out of the country to go
(29:36):
watch his son in the World Cup. So I said, okay,
wait a minute, you get the day off, so therefore
you need to do something for my incredible audience.
Speaker 1 (29:45):
He goes, all right, bro, all right, here's what we're
gonna do.
Speaker 2 (29:47):
He goes, I'm going to give away another copy of
my new book ebook that.
Speaker 1 (29:53):
Is The Rise of the Solo Preneur.
Speaker 2 (29:56):
So many people took advantage of the offer from last week,
where we thought that was all was going to be.
Normally he was going to sell it for twelve ninety five,
but he decided to extend it since again he feels
bad not being here today. He's in the air right now.
So here's what you want to do. If you interested
in becoming a solopreneur. Go to my brother's website, Performai
dot Ai. That's Performai dot Ai. Click on the more
(30:18):
info button drop down, make sure you say where you
heard this from the John Sanchez Show, and you will
get a free copy of this great, great book, The
Rise of the Solopreneur by doctor Dennis Sanchez.
Speaker 1 (30:31):
All Right, so we were.
Speaker 2 (30:32):
Talking, you know, a moment ago about a fellow by
the name of Daniel that once again a solopreneur, challenge
the shelf to ship eight products in eight months. He
launched an app that made it onto the App Store,
and within a short period of time he went from
ten thousand dollars in single sales and five thousand a
month on recurring revenue to sixty five thousand dollars a
(30:53):
month and roughly ninety one percent profit margins. Again, something
you can't do if you have brooked mortar employees, et cetera.
Speaker 1 (31:01):
But I fail to mention this.
Speaker 2 (31:03):
I should have done this right at the beginning, but
I got so excited about sharing a success story with you.
Is you know, many of you may be going I've
never heard this term before. What is a AI solopreneur. Well,
the real definition of it is very simple. It's a
one person business that uses AI to handle everything. When
I say everything, I mean everything from marketing, design, customer service, analytics,
(31:25):
financial reporting, you name it, it does it all. You
get the leverage factor. One person can now operate like
a full scale agency or firm. Real life example, a
realitory using chat, GPT plus, Conva or Canva and Zapier
to run a twenty four hour, seven twenty four hour
a day, seven day a week content machine. A financial
coach that uses AI to script, edit and distribute a
(31:47):
daily podcast. A YouTuber using AI for thumbnails, captions and voiceovers,
doubling output with half the effort. So what's really exciting
is what AI doesn't do. And I don't know what
that limit is at this point. It's really and it's
getting stronger and stronger all the time. But Jason, let's
go back to this gentleman, this is Daniel Nigen, and
(32:09):
just kind of walk through a few things that you
know that he did so, as we said before we
went to break, he stopped chasing random products, so he
focused in That's a very important fact for the solo preneur.
He used AI as a force multiplier again, handling the marketing,
the coding, everything real quickly. Jason, you're you're the coding nerd.
How effective is AI for coding?
Speaker 3 (32:28):
It's dynamite.
Speaker 4 (32:29):
You can just ask it to create code in Java
or you know Seql or whatever, you know Python, and
it will kick out the code. You just ask it
what you want, what you needed to do. I want
to pull data from this database, put it in this
database in some way, shape or form. You just ask
it and it'll write the code for you and you
can paste right individual studio or whatever you're using to
write code.
Speaker 3 (32:49):
And it's pretty awesome.
Speaker 4 (32:50):
And if it doesn't do what you want, you can say,
well change it. This isn't happening. Can you make it
do this? And then bang it spits the code back
at you. Yeah, it's pretty impressive. And vibe coding is
what people call it now, where right, you're not actually
writing the code, you're asking AI to write it for you,
and then you're sort of iterating on it. I think
that's where coding has moved too. So the whole fear
(33:10):
of computer science majors going away and losing their jobs. Certainly,
the newer ones are going to have a tougher time,
but you know, people who know code and know how
to interpret it and use it and change it and
update it are still going to do fine for a
long time. It's just, you know, everything, everyone's job. Like
(33:31):
you said, entrepreneur gets faster, a coder gets faster, so
they may not have to write all the code one
by one by one, but they can know what needs
to be changed and what's wrong. And so I think
that's the part that's pretty pretty cool.
Speaker 1 (33:42):
All right.
Speaker 2 (33:43):
The other takeaway high margins again, minimal overhead. As we said,
he got viral growth over social media again. And the
last thing he told the world that he had this product,
didn't have it, built it based upon the demand. So
again we see that over and over again with successful
solo a entrepreneurs. Great topic, folks, so much fun talking
about it. Jason, I can be of service to you
by all means this. Give us a call seven seven
(34:04):
five eight hundred eighteen oh one, or go to Sanchez
gone to Gaunt dot com and be more than happy
to talk with you. God bless ever a great afternoon.
See you, Jay, John Sanchez is a registered investment advisor,
and the opinions expressed by Sanchez Gone Capital Management, LLC
on this show or their own and do not reflect
the opinions of News Talks seven eighty or its parent company,
Cumulus Media. All statements and opinions expressed are based upon
(34:27):
information considered reliable, although it should not be relied upon.
As such, any statements or opinions are subject to change
without notice. Information presented is for educational purposes only and
does not intend to make an offer or solicitation for
the sale or purchase of any specific securities, investments, or
investment strategies.
Speaker 1 (34:46):
Investments involve risk, and, unless otherwise stated or are not guaranteed.
Speaker 2 (34:50):
Information expressed does not take into account your specific situation
or objectives, and is not intended as recommendations appropriate for
any individual.
Speaker 1 (34:59):
Listeners are incur uraged to seek advice from a qualified tax, legal,
or investment advisor to determine whether any information presented may
be suitable for their specific situation.
Speaker 2 (35:08):
Past performance is not indicative of future performance.
Good Monday afternoon to you.
Speaker 2 (00:01):
Welcome to the John Sanchez Show one News Talk seven
eighty k which it's a pleasure to be with you
and a pleasure to be with my co host, mister
Jason Cat. How you doing big jap Monday.
Speaker 3 (00:10):
Yeah, I'm doing well. Happy Monday, Happy Monday.
Speaker 1 (00:13):
Yeah.
Speaker 2 (00:13):
See, I'm entrusted with one thing. Produce the show for
once since Bailey's out of town, and I screw it up,
screw up our opening. But you know it'll only get
better as we.
Speaker 3 (00:22):
Goo anything matters.
Speaker 1 (00:25):
I appreciate that. Just can't press the right buttons, that's
what was going to happen. I knew it was too easy.
I knew it. She's like, oh, you just pressed this
and do that?
Speaker 3 (00:34):
Like, yeah, right there, we need AI for all things.
Speaker 1 (00:36):
There you go. I want to record the John Sanchez Show.
Speaker 2 (00:40):
Yes, everyone, absolutely, well, thank you for your patience, folks.
I do appreciate it. Sorry for the screw up on
my part, no doubt about it. All righty folks, let
me tell you what we have Landau for you. Bailey
and Dennis are on.
Speaker 1 (00:56):
A flight Toquitar right now.
Speaker 2 (00:58):
Jason and I were produce in our own show and
we're playing the AI Doctor.
Speaker 1 (01:03):
We're gonna do it all today, Jay, We're gonna do
it all today, all right.
Speaker 3 (01:06):
I will try my best.
Speaker 1 (01:07):
Yeah, indeed, indeed, I can. You know.
Speaker 2 (01:09):
I look younger than my brother, but I sound like him,
so yeah, no one's gonna know the difference. All right, folks,
let me tell you what we do have lined up
for you this Monday afternoon. We're of course going to
go through today's stock market recap for you, give you
the details as to what happened, and then we're going
to get into our AI segment, as we do each
and every Monday normally, get doctor Dennis Sanchez, the AI
Doctor is here with us, but as I said, he
has gone today and he'll be gone next Monday. So
(01:32):
here's the question, folks, what if I told you the
most powerful business team in the world might just be
you and your laptop. That's right, that's all it takes,
you and your laptop. Well, today, Jason and I are
gonna explore how AI solopreneurs are building literally multi million
dollar empires from their kitchen table, from their van sitting at.
Speaker 1 (01:56):
The beach out on the ocean, and a cabin up
in the mountains. It doesn't matter where they are, Jason,
they're doing it.
Speaker 2 (02:03):
We're gonna cover the smart, safe ways that you can
join this AI revelation.
Speaker 1 (02:09):
It's it's amazing to.
Speaker 2 (02:11):
Hear these stories over and over and over, Jason, and
read about them, hear about them, et cetera. Of these
people just again staggering, staggering sums of money. They're making, happiness, freedom,
I mean, everything that you ever wanted in a business.
They are doing this now thanks to AI. And so
we're gonna help our audience do that. We're gonna we're
(02:32):
gonna break this down into a couple of different things.
Speaker 1 (02:34):
Here's here's kind of a few things we're gonna be discussing.
Speaker 2 (02:38):
First of all, we're gonna go back for those of
you that may be new to the show, you know,
and it's just been a second, talking about what is
the AI solopreneur. Right, We're gonna kind of give you
the definition, talk about it for a few of the
different industries that are out there.
Speaker 1 (02:50):
Then we'll move into the power tools of the.
Speaker 2 (02:52):
AI solopreneur, Right, what are they using to make these
multimillion dollar businesses. Then we'll talk about how AI multiplies
time and applies talent and then the smart side of
the revolution, right, what are the dangers that you have
into it? But also what's the smart side? So how
do you build this correctly? You know what I really
wanted to do today Jason and Jason in Dennis's absence,
(03:13):
But maybe next Monday we'll do So here's what I
really wanted to do.
Speaker 1 (03:18):
I wanted to.
Speaker 2 (03:20):
Give out the invitation for a bunch of people to
be able to join us on our video call right now, okay,
and have them join us and right in front of them,
build a business for them right on the show.
Speaker 1 (03:30):
That's how fast and.
Speaker 2 (03:31):
How easy you can build a business with AI literally
within a matter of an hour at the very most.
I mean sometimes it can be much sooner. Wouldn't that
be such a cool thing? So well, maybe try to
do that next Monday.
Speaker 3 (03:42):
Yeah, I like it. It sounds a good thing, you know.
Speaker 4 (03:44):
I mean, I think it's helped entrepreneurs in general, yes,
to get through a lot of the roadblocks that they
historically would have had in you know, I have an idea,
but I have no freaking clue on how to do it,
how to market it, how to build the business planets,
and these tools that you and Dennis have done a
great job going through helped make a lot of that
(04:05):
pretty darn easy for sure.
Speaker 1 (04:06):
Yeah, it really does, It really does.
Speaker 2 (04:08):
And if you've missed any of the AI segments, go
back and listen to our podcast. And again, this has
just given us just a ton a ton of information.
But it's gonna be a fun topic. I can't wait
to have been looking forward to this all day. So
with that said, my friend, the floor is all years.
How about a nice little market recap for this Monday afternoon.
Speaker 4 (04:24):
Yeah, I mean today felt a lot like yesterday, and
felt a lot like the day before, and this is
the market's trapped.
Speaker 3 (04:30):
Well, I just tall trading days. Yeah, I mean I
don't even really.
Speaker 4 (04:34):
Have Saturdayay, just a lot of you know, the markets
really sort of hovering around these levels. It's been going
on for one, two, three, four, five, going on about
six seven trading days where we're trapped in this range
on the S and P five hundred and lacking a
real catalyst to break us higher.
Speaker 3 (04:55):
And that's the tougher part.
Speaker 4 (04:57):
And unfortunately, interest rates are the only thing that seem
like they want to be breaking higher, and.
Speaker 3 (05:02):
That's causing a bit of concern.
Speaker 4 (05:04):
Right the boo bears are winning a bit on the
fear side. You had the Vicks today that did end
up lower at the end of the day, but was
trading above nineteen earlier in the session. As interest rates
continue to trickle up, given that Jerome Powell walked back
some of the you know, it's say excitement of further
(05:25):
rate cuts this year, not to say that they're off
the table, but that they're halfway hanging off the table,
and so the market's trying to digest that. Small caps
areas that people have been reallocating towards were under some
pressure today, not demonstrably, but it was a you know,
looking at biotech and small caps in general, there wasn't
(05:46):
a lot to be excited about outside of the normal
MAG seven area. That's I mean, it's forty two percent
I think Mag seven plus.
Speaker 2 (05:56):
I was just talking to the client today before they showed.
I'm like, yeah, let's check, it was about twenty six.
So now it's forty two huh.
Speaker 4 (06:03):
Yeah, of the market cap of the S and P
five hundred and so it's not to say that, you know,
going back and seeing a couple of different studies that
when things become this concentrated doesn't necessarily mean that things
go down. It's just that you need a handful of
things to continue to be strong, even though we try
to break away from that. Right, let's buy small caps next,
(06:24):
or let's buy areas that can benefit from AI, and
then everyone just tends to just go back to what
they're used to of buying the you know seven eight
horsemen of the Apocalypse and you know a win to it.
Speaker 3 (06:37):
Right.
Speaker 4 (06:37):
It's there's a lot of names that are underperforming to
the tune of twenty plus percent relative to the S
and P this year, while these others continue to sort
of charge ahead.
Speaker 3 (06:46):
So it's you know, good to see some mergers, right.
Speaker 4 (06:50):
You had ken View, which is the spinoff from Johnson
and Johnson get bought by Kimberly Clark. It was looking
through earlier today some of the names that Kenview owns,
Tyler and all, which I would imagine Kimberly Clark was
very happy to see the negative comments about it and
all the can you know, proven or unproven things around uh,
(07:10):
you know, birth issues that obviously we've been dealing with
with Twannel, but nutrigena listine band aid A, Veno, Zertech, Motron, Benadryl,
Pseudo fed. You know, there's a lot of names in
that bucket that was spun off. And so to see
conglomerates like that be able to bind together, which historically
probably would have been pushed back on by the prior administration.
(07:32):
You're going to see I think more and more M
and A over the next year. So that's always i'd say,
good to see when you've got some companies getting together
with some synergies. You have Palenteer after the close that's
been the I would say the horsemen of the you know,
aggressive aggressive growth trade that stocks trading. You know last
(07:54):
I look, I think it was higher than the close.
Uh Palenteer maybe a touch lower now two oh three
and changed last off a two oh seven clothes. But
their numbers were good, their guidance was good. I think
it's enough to at least near term, keep the keep
the stock going. They could have certainly laid an egg,
but they didn't. And this is a little bit of
profit taking. But overall, the interest rates are a bit troubling.
(08:18):
I don't want to see they're not scaring me, but
just the fact that you're not seeing us really tip
heavy into the three percent range, calls to concern some
of the thoughts that people thought, maybe know real estate
would pick up with lower interest rates refinance seven.
Speaker 3 (08:34):
Yeah, it has, and I think that's something.
Speaker 4 (08:36):
That will continue to be at least, you know, a
big area that we would be nice to have and
all the things that would come from it. But right
now we're sort of bound here and not quite sure
which way this market wants to break. And hopefully it's higher,
but it's already moved up quite a bit. But remember
we're into the strong.
Speaker 3 (08:54):
Part of the year.
Speaker 4 (08:55):
November, December into next year tend to be the six
strongest months of the year, even seasonally the end of
the year.
Speaker 1 (09:02):
The strongest month.
Speaker 4 (09:03):
Correct yep, So lots of tail wins, but also quite
a bit of wall of worry that I think the
market's trying to figure out.
Speaker 2 (09:09):
Yeah, absolutely, all right, we come back from this break,
we'll tell you some of the big movers of today's
market activity, i e. Amazon, Nvidia, what happened? More deals
were struck and boy do I have some data to
share with you. I'm gonna surprise you, mister gott You're
gonna be surprised. At the amount of deals that are
being done in this space and again just propelling this
market higher or at least those names. All right, well
(09:32):
we come back, we'll cover that and get into our
topic once again. The most powerful business team may be
just you.
Speaker 1 (09:38):
That's right, all.
Speaker 2 (09:39):
Right, turned over to Christen Snow she's in the right
now traffic center. Hello, Christen, Welcome back to the John
Sanchez Show on News Talk seven to eighty k which
with Jason gott All right, here's how we finished up,
once again, a tale of divergy markets. Weakness on the
Dow strengthen the nasdacup excuse me, down to twenty six
point four eight percent loss on the Dow to a
close of forty seven thousand and three thirty six Nazak
(10:01):
rows one hundred and ten point four to six percent
to a close of twenty three thousand and eight thirty
four and up twelve is all on the s and
p five hundred, six thousand, eight hundred and fifty one.
Well for the day, just have five cent gain to
sixty one dollars. A barrow gold rose seventeen dollars and
sixty cents to four thousand, thirteen dollars. And sixty cents
announce and quiet in the bond market. Just a one
basis pointy increase on the tenure tool close of four
(10:22):
point one one percent. All right, we're gonna get to
our AI segment here in just a moment. Once again,
the most powerful business team may be just you. But
in the meantime, let's talk a little AI. So, Jason,
you were giving us a great recap as always right
before the break, and let's talk about one of the
big winners today, one of the big movers, one of
the big winners today. That's our friends over at Amazon
(10:43):
Stock rows four percent, nine dollars and seventy eight cent
gain to two hundred and fifty four dollars. Navidia four
dollars and thirty nine cent increase two point one seven
percent to two oh six eighty eight. Well, here was
the catalyst that happened today with both of those companies.
Speaker 1 (10:59):
Here we go. Listen closely, folks.
Speaker 2 (11:02):
Amazon today their cloud unit asure of course, or excuse me,
aws AWS signed a thirty eight billion dollar deal to
supply a slice of open AI is the parent of
Chat GPT. Of course, bottomless demand for computing power. The
Chat GPT maker is going to pay Amazon Web Services
(11:23):
for access to hundreds of thousands of Navidia graphic processing
units better known as GPUs, as part of a seven
year deal the company's announced today. The arrangement is the
latest indication of open ais transformation from a research lab
to an artificial intelligence powerhouse that has reshaped the tech industry. Now, Jason,
(11:45):
you and I were chatting, so it's no longer a secret.
But folks, take for a moment, and as you hear
Jason and I talk about almost like daily, it seems
like the amount of deals that open ai has committed
to all right times up, here's the number. Open ai
has committed to one point four trillion dollars of infrastructure
(12:09):
build out and power to its AI models. Unprecedented binge that,
of course, has prompted some concerns that we may be
in an AI investment bubble. So think about this for
just one second, folks, one company, Jason, what was the revenues.
Speaker 3 (12:30):
UH thus far in twenty twenty five? Thirteen billion dollars
with a B just a billion.
Speaker 2 (12:37):
Now on the hook for one point four trillion dollars.
Go back to the numbers A little Yeah.
Speaker 3 (12:45):
That's tough. That's that's there's some yeah, that's leverage.
Speaker 2 (12:50):
There's just a just a little bit yeah of issue
going on with that one.
Speaker 1 (12:57):
Now, the the.
Speaker 2 (13:00):
Interesting fact about this is this one point four trillion
dollars is really really spread among a number of different companies. Right,
It's not just Amazon, It's not just this, It is
spread out among a number of companies.
Speaker 1 (13:22):
And Jason, let's.
Speaker 2 (13:22):
Just play little devil's advocate here, right, And it's always
fun to do that. And by no means are we
saying that this could happen. Let's walk through a scenario
that if something God forbid happens to Open AI or
Sam Alton their genius behind it, or something along those lines.
Let's talk to just for a moment about what the
ecosystem would happen in the AI structure if all of
(13:46):
a sudden Open AI couldn't pay their bills. And then
I'll go through what each of the major tech companies
have spent or committed to with open aian.
Speaker 4 (13:55):
I think Microsoft comes to mind first. That would be
the one that I'd be the most concerned about. They
have a big stake in them. I know they did
just at a capitalization of some kind that how much
is the Microsoft one hundred and sixty five So the
valuation for open life that was.
Speaker 1 (14:12):
Last That was last week. That was last week.
Speaker 4 (14:15):
So op open AI's valuations five hundred billion from sort
of recent deals, et cetera.
Speaker 1 (14:20):
Right, I'm just trying to think a point for a trillion.
Speaker 4 (14:23):
Right, So yeah, I mean Microsoft, obviously, Amazon, and Vidio.
Speaker 3 (14:30):
AMD.
Speaker 1 (14:31):
Let me give you the numbers. Let me give you
the numbers. Let me give you the numbers. Here we go.
Speaker 2 (14:34):
Here's what makes up the one point for trillion dollars
that open ai is committed to. Okay, we'll start with Oracle.
You will remember these stories. They've happened over the last
month or two. Not not old stories by any means.
So chet GPT's on the hook with Oracle for three
hundred billion dollars open ai. Oracle agreed to develop up
to four point five gigawatts of data center capacity. Okay,
(14:56):
three hundred billion to Oracle, Microsoft two hundred and fifty billion.
Open ai makes additional commitments to Microsoft as your Google
undisclosed them out. Open ai added at Google Cloud to
a list of providers powering chat GPT AMD an undisclosed amount.
Open Ai to deployee six gigawatts of AMD graphic processing units,
(15:17):
core Weave up to twenty two point four billion. That's
a small kid in the house. Open Ai expands data
center capacity agreement with core Weave Broadcom tens of billions
of dollars.
Speaker 1 (15:28):
Don't even know the exact amount. They say tens of
billionsts watts.
Speaker 2 (15:31):
Open Ai agreed to buy custom chips and networking components
from Broadcom. And then today's deal with Amazon thirty eight billion,
where AWS is going to provide open Ai with hundreds
of thousands of Navidia chips. Jason, that's a lot of money.
One point four trillion. Now, is this company growing rapidly? Yes,
But folks like we have always warned during this great
(15:55):
AI boom, and it's phenomenal. I mean, it is definitely
propelling the market. It's building up your portfolios, so on
and so forth. But what we have to be cognizant
about is if one of these players, they're all on
the hook for a lot of money, even right, Jason,
even even a Microsoft on the hook for two hundred
and fifty billion plus. That doesn't even account for their investments.
(16:16):
I forget how many billion.
Speaker 4 (16:17):
Yeah, the one hundred and forty billion roughly, is the
is the investment of the company.
Speaker 2 (16:24):
So you're talking between that in the two hundred and
fifty billion I just mentioned. So Amazon or excuse me,
Microsoft is in bed with with open Ai for we'll
call it a half a billion right between what they've
invested and what they've committed. So the bottom line is
these are all substantial numbers that if one little hiccup occurs,
(16:44):
whether it's on open Ai side, or Oracles or Microsoft
or any of these other major tech companies, this thing
could unravel faster than we could shake a stick. That's
what we have to be worried about. That's what I
was discussing with one of our clients right before the show.
Jason's like, I go, you know what, what's the risk
of the market right now? And I said, yeah, Marcus
is already pricedtand even though the FED said no more
rate cast, we've got that issue. Blah blah blah blah,
(17:04):
earnings are still good, I said, But it's the open
it's the Ai issue, right. This thing is we discussed
till we're blue in the face, the circular accounting and
so on and so forth, and now when this number
finally came out. One point four trillion dollars of open
Ai is on the hook. For that is a substantial
sum of money, and so God help us if something happens.
Speaker 1 (17:23):
That's all I can say. Hopefully our worries are for.
Speaker 2 (17:26):
Nothing, Jason, right, you and I worry about this all
the time. Hopefully our worries are for nothing. And this
will be in if this is successful.
Speaker 1 (17:34):
Let's leave you to the one point.
Speaker 2 (17:35):
If this is successful, it will go down as one
of the greatest new obviously new technologies, but greatest companies.
I mean again, open Ai folks is not publicly traded,
so we can't really see a.
Speaker 1 (17:46):
Lot of the data.
Speaker 2 (17:47):
But if it comes through as it's anticipating, Man, oh man,
what a story this is going to be for the
history books.
Speaker 4 (17:53):
Yeah, I mean in video is a five trillion dollar company,
so you know we should shave twenty percent off in
video and we're all good.
Speaker 2 (17:59):
Right, just borrow more to borrow more. I didn't. I
was thinking about you yesterday. I was watching having some
coffee time in the morning, and I had YouTube on
on my TV as I always do, and I came
across a great documentary is by Business Insider folks, and
I highly recommend. It's about a I don't know, twenty
(18:20):
five minute documentary on the AI data centers. And it
was absolutely fascinating Jason to see what's inside these and
they have a hard time getting in. So one thing
this story real quickly said was it's a big secret, right.
You don't know when you see a big data center,
(18:42):
you don't know who it really is. And so what
Business Insider did is they it was pretty smart. They said, well,
wait a minute here, these data centers have to have
backup generators, and it looked like most of them are
cap So what Business Insider did is they went to
the air pollution districts where these data centers are, because
you have to have a permit for these generators. And
(19:04):
so then they backtrack and to find out it is fascinating,
fascinating where these things are. And the gist of the
of the whole story was how in Virginia specifically, AWS
is putting up these massive data centers, which, by the way,
hardly employ many people. Twenty thirty people, right, that's it.
It's hardly anything but the hum that the air conditioning
(19:27):
units and the GPUs are putting out I mean they
measure the sound and people these neighbors interview. These neighbors
are like, we can't sleep at night, right, my kid
can't go I can't go to sleep. Yeah, it's something
we never think about. And you can hear that hum.
And so Amazon, they this neighborhood group tried toe in Amazon.
Amazon said, okay, you know, let's try to fix this,
and they put some chimney stacks on these hundreds or
(19:50):
however many AC units on the top.
Speaker 1 (19:52):
Of these buildings. Didn't do any good.
Speaker 2 (19:54):
But these things, Jason, are popping up anywhere or everywhere,
and they're trying to get to of course, trying to
be as close to the artery of the internet, right
the main highways. That makes sense, yep. But they're popping
up in Wyoming. I mean literally out in the middle
of nowhere, on the middle of farmland, here comes the
(20:15):
data center. And so I think it said there's eighteen
hundred this I don't know how old this video was.
I don't think it was too old, but you know,
at that time there was eighteen hundred data centers and
they had a map of where they all are. But
they're just popping up everywhere in neighborhoods out in the
middle of nowhere. It's gonna be mind boggling to see
how many of these things are finally built, you know,
I mean, where does it stop right? They've got us
(20:36):
hooked on AI. Where does it stop right? We're just
gonna want more and more. We're gonna need more computing
and so on and so forth. So it's an amazing story.
But yeah, highly recommend you pick up that video and
then watch it on YouTube, all right, and start over
to Jack Saban.
Speaker 1 (20:49):
He's got news trafficking winter.
Speaker 2 (20:50):
Hey, Jack, welcome back to the John Sanchez Show on
his top seven to eighty k O which with Jason
once again, we finished out to twenty six on the
Dow Road one O nine actually ten excuse me, on
the Nastac and hire by twelve on the.
Speaker 1 (21:04):
S and P five hundred. The most powerful business team
is you.
Speaker 2 (21:09):
You and maybe that laptop or iPad, whatever it is
that you use. That's what we're gonna teach you this
afternoon on the John Sanchez Show.
Speaker 1 (21:15):
Why are we doing this?
Speaker 2 (21:16):
Well, of course it's AI Monday, so we always like
to bring you what's going on in the world of AI.
Speaker 1 (21:20):
We just told you.
Speaker 2 (21:21):
You know again, this the massive spin that was announced
today by Amazon in the world of AI and Microsoft
and everybody else. But let's bring it down to your level,
the solo AI preneur or AI solo preneur.
Speaker 1 (21:35):
It's amazing what's going on.
Speaker 2 (21:36):
And Jason, I want to start this with a with
a little story and then we're gonna get into again
why you can be the most powerful business team ever,
just you and yourself.
Speaker 1 (21:48):
So here's the story.
Speaker 2 (21:49):
Fellow by the name of Daniel nigen In I think
a probably mispronouncing name n g u y e n Okay,
it's a company called bolt Ai.
Speaker 1 (21:57):
Okay, here's the story real quick.
Speaker 2 (22:00):
Daniel was a solo founder who had built several small
projects with little success. Then he launched bolt Ai, a
Mac app powered by AI. Before bolt he had challenged
himself to ship eight products in eight months, a launch fast,
learn fast strategy. But when his product, bolt Ai took off,
it quickly generated ten thousand dollars in single sales and
(22:23):
five thousand dollars in reoccurring monthly revenue. Within a short time,
it grew to about sixty five thousand dollars a month
in revenue, with roughly ninety one percent margins. And he
did it entirely solo, no employees, no investors. And this
was an article that was in Forbes that I found. Now,
(22:44):
why did this work for Daniel, Well, he stopped chasing
random AI projects and focused on something he himself needed,
a real problem. And Jason, this is one of the
big issues that there's so many things you can do
with AI. Right again, you can sit down and write
a business plan of no time. One of the challenges
that it creates for many people, especially those of us
that just love business in general, is it can lead
(23:06):
you down a lot of different paths, and eventually what
you have to do is you have to choose one
of these paths. And that's what this Daniel fellow did.
He's like, Okay, I'm going to focus in on one
thing and I'm going to be really really good at it.
Speaker 1 (23:18):
Right, Yeah.
Speaker 4 (23:20):
I Mean the tough part though, too, right, is I
think you hit it is with all of these things.
Speaker 3 (23:25):
You need to have a jumping off point.
Speaker 4 (23:27):
Right, you can sit in analysis paralysis yourself into a
vortex of some kind. I think utilizing it in a
way that helps augment a plan that you had in
place is the right thought versus having this thing come
up with all these you know, hey, you could do this,
you can do that, you can do this, and here's
(23:48):
a business plan.
Speaker 3 (23:48):
Okay, well great? Is there a market for that?
Speaker 2 (23:51):
Right?
Speaker 4 (23:51):
And those are the things like with everybody is you know,
don't be a solution searching for a problem. You have
to be the other way around, you know, with everyone.
A lot of these stories from AI et cetera. They
tend to be you know, technology focused in many ways,
but not always. But I think the part that's great
about it is the ability to create a business plan
(24:15):
and even ask it, you know, how do I avoid
hiring people right with this? You know, how do I
utilize you or utilize this system to create things that
normally I would be hiring a person, place or thing
to fill for. So it is it's you know, it's
it's awesome the toolkit. It's just you need to be
(24:36):
really you need to be pretty concise and firm about
your time commitment because I think a lot of people
may spend too much time just you know, going down
the rabbit hole, like.
Speaker 3 (24:47):
You've talked about a bunch of times.
Speaker 4 (24:48):
Yeah, So that's that's the part that I like to
at least start out talking about because it's hard, you know, it.
Speaker 2 (24:54):
Is it well, it's it's it's it's so tempting, right,
It's like someone on a diet that just went to
a buffet.
Speaker 1 (24:59):
It's like, Oh, I can do that one. I can
do that one. You know, I want that. I want
that one. I want that. Yeah, exactly, Yeah, focus it down.
Speaker 2 (25:04):
But you hit on something really key that I want
to kind of start the discussion with, and that is
find You said this, find a problem and solve it.
Speaker 1 (25:13):
Right.
Speaker 2 (25:13):
So his case, I don't know exactly what his bolt
AI with the product is, but obviously he solved a problem.
And you know, if you go into it, you know
as far as what made this really work well, he
stopped chasing random AI projects focus on something he himself needed,
a real everyday problem that AI could solve efficiently. Because
(25:35):
I promise you, folks, if there's a problem or something
you're not happy with a product, a service, et cetera,
I promise you, if you're not happy with it, there's
probably thousands, if not millions of other people that are
in the same boat. So if you can use AI
to solve that, there you go, and that's exactly what
he did. Uh. He used AI as a force multiplier.
What I mean by that, well, he used AI for coding,
(25:57):
for marketing, for support, for automation, effectively replacing, you know,
a pretty good sized team. This kept the costs extremely
low and allowed them to move fast. Let me remind
you he operated on a ninety one percent profit margin.
You can't do that if you have brick and mortar,
you can't do that if you have employees, et cetera.
But ninety one percent profit margin. To your point about speed,
(26:18):
so you know, instead of waiting for the perfect product,
he launched quickly, gathered feedback, and refined it weekly. Now
this is something that is really interesting, folks. Back to
Jason's point and exactly what this gentleman did. We all
tend to want to create and I am so guilty
of this. You want to create the perfect product or
the perfect solution. And what I keep seeing over and
(26:42):
over and over again, Jason, with these successful solorepreneurs.
Speaker 1 (26:46):
Is they we'll give you. I'll tell you then I'm
going to tell you what I just had happened to me.
Speaker 2 (26:56):
They build it, or let me say, they advertise as
if they have the product built, and then what they
do is they test the waters. Because again with AI, folks,
it will literally create an entire let's say, social media campaign.
What a social media post cost you basically nothing, right
unless you buy some ads or something like that. So
they'll use social media in AI to go out and
(27:17):
do your posts in all the major social media sites
and see what the feedback is. If the feedback is strong,
then they will build the product or the service. In
the old days, we would have to do it the
other way. We would actually spend the time and the
money in the capitol to build a product or service
and hope, like heck, that someone wants it. That's not
the way it is anymore. With AI. You advertise it
(27:39):
as if you had it, and then if the demand
is there, then you build it. Listen, I watched this, actually, yeah,
watch it was a webinar with this lady. Dennis turned
me on to her. He attended a webinar she had.
This was a couple of weeks ago. And this woman
is a one I shouldn't say one woman wrecking machine
(27:59):
because she had an assistant behind her that you can see.
But Jason, she her focus using AI is to build courses,
courses for all kinds of different things. Right, everybody wants
to get smarter in certain things. So she was so
successful or lest she said that she now sells how
to build courses for people.
Speaker 1 (28:22):
So this woman is what she claims.
Speaker 2 (28:25):
So it was like twenty five hundred dollars to buy
her course on how to build courses. So you know,
you pay twenty five hundred bucks. And when Dennis was
listening to the webinar earlier in the day, I listened
to it at night and she goes, well, we you know,
we just had our thousandth buyer of the course. So
that woman just made two hundred and fifty thousand dollars
(28:45):
if it's true, within that hour long webinar, right, And
so it just continues over and over again. And this
woman sat there for about two hours on this webinar,
and I thought she was an AI bought to be
honest with you, because she never missed a beat. And
then finally towards in, she goes, I just want to
let you guys know, I'm not a bot. I'm a
real person, you know. But she she had it down,
(29:06):
but she made like I said, two hundred and fifty
thousand dollars within a matter of you know, a couple hours,
and she could never have done that without AI.
Speaker 1 (29:14):
So we'll continue our discussion.
Speaker 2 (29:16):
Let's wrap it up with Jackson or excuse me, with
christin snow right now traffic Center. Kristen, Welcome back to
the John Sanchez Show on News Talk seven eighty k.
It's with Jason Gatton. Once again, we have been talking
about the most powerful business team maybe just you. Now,
as I've mentioned the beginning of the show, my brother
is on his way out of the country to go
(29:36):
watch his son in the World Cup. So I said, okay,
wait a minute, you get the day off, so therefore
you need to do something for my incredible audience.
Speaker 1 (29:45):
He goes, all right, bro, all right, here's what we're
gonna do.
Speaker 2 (29:47):
He goes, I'm going to give away another copy of
my new book ebook that.
Speaker 1 (29:53):
Is The Rise of the Solo Preneur.
Speaker 2 (29:56):
So many people took advantage of the offer from last week,
where we thought that was all was going to be.
Normally he was going to sell it for twelve ninety five,
but he decided to extend it since again he feels
bad not being here today. He's in the air right now.
So here's what you want to do. If you interested
in becoming a solopreneur. Go to my brother's website, Performai
dot Ai. That's Performai dot Ai. Click on the more
(30:18):
info button drop down, make sure you say where you
heard this from the John Sanchez Show, and you will
get a free copy of this great, great book, The
Rise of the Solopreneur by doctor Dennis Sanchez.
Speaker 1 (30:31):
All Right, so we were.
Speaker 2 (30:32):
Talking, you know, a moment ago about a fellow by
the name of Daniel that once again a solopreneur, challenge
the shelf to ship eight products in eight months. He
launched an app that made it onto the App Store,
and within a short period of time he went from
ten thousand dollars in single sales and five thousand a
month on recurring revenue to sixty five thousand dollars a
(30:53):
month and roughly ninety one percent profit margins. Again, something
you can't do if you have brooked mortar employees, et cetera.
Speaker 1 (31:01):
But I fail to mention this.
Speaker 2 (31:03):
I should have done this right at the beginning, but
I got so excited about sharing a success story with you.
Is you know, many of you may be going I've
never heard this term before. What is a AI solopreneur. Well,
the real definition of it is very simple. It's a
one person business that uses AI to handle everything. When
I say everything, I mean everything from marketing, design, customer service, analytics,
(31:25):
financial reporting, you name it, it does it all. You
get the leverage factor. One person can now operate like
a full scale agency or firm. Real life example, a
realitory using chat, GPT plus, Conva or Canva and Zapier
to run a twenty four hour, seven twenty four hour
a day, seven day a week content machine. A financial
coach that uses AI to script, edit and distribute a
(31:47):
daily podcast. A YouTuber using AI for thumbnails, captions and voiceovers,
doubling output with half the effort. So what's really exciting
is what AI doesn't do. And I don't know what
that limit is at this point. It's really and it's
getting stronger and stronger all the time. But Jason, let's
go back to this gentleman, this is Daniel Nigen, and
(32:09):
just kind of walk through a few things that you
know that he did so, as we said before we
went to break, he stopped chasing random products, so he
focused in That's a very important fact for the solo preneur.
He used AI as a force multiplier again, handling the marketing,
the coding, everything real quickly. Jason, you're you're the coding nerd.
How effective is AI for coding?
Speaker 3 (32:28):
It's dynamite.
Speaker 4 (32:29):
You can just ask it to create code in Java
or you know Seql or whatever, you know Python, and
it will kick out the code. You just ask it
what you want, what you needed to do. I want
to pull data from this database, put it in this
database in some way, shape or form. You just ask
it and it'll write the code for you and you
can paste right individual studio or whatever you're using to
write code.
Speaker 3 (32:49):
And it's pretty awesome.
Speaker 4 (32:50):
And if it doesn't do what you want, you can say,
well change it. This isn't happening. Can you make it
do this? And then bang it spits the code back
at you. Yeah, it's pretty impressive. And vibe coding is
what people call it now, where right, you're not actually
writing the code, you're asking AI to write it for you,
and then you're sort of iterating on it. I think
that's where coding has moved too. So the whole fear
(33:10):
of computer science majors going away and losing their jobs. Certainly,
the newer ones are going to have a tougher time,
but you know, people who know code and know how
to interpret it and use it and change it and
update it are still going to do fine for a
long time. It's just, you know, everything, everyone's job. Like
(33:31):
you said, entrepreneur gets faster, a coder gets faster, so
they may not have to write all the code one
by one by one, but they can know what needs
to be changed and what's wrong. And so I think
that's the part that's pretty pretty cool.
Speaker 1 (33:42):
All right.
Speaker 2 (33:43):
The other takeaway high margins again, minimal overhead. As we said,
he got viral growth over social media again. And the
last thing he told the world that he had this product,
didn't have it, built it based upon the demand. So
again we see that over and over again with successful
solo a entrepreneurs. Great topic, folks, so much fun talking
about it. Jason, I can be of service to you
by all means this. Give us a call seven seven
(34:04):
five eight hundred eighteen oh one, or go to Sanchez
gone to Gaunt dot com and be more than happy
to talk with you. God bless ever a great afternoon.
See you, Jay, John Sanchez is a registered investment advisor,
and the opinions expressed by Sanchez Gone Capital Management, LLC
on this show or their own and do not reflect
the opinions of News Talks seven eighty or its parent company,
Cumulus Media. All statements and opinions expressed are based upon
(34:27):
information considered reliable, although it should not be relied upon.
As such, any statements or opinions are subject to change
without notice. Information presented is for educational purposes only and
does not intend to make an offer or solicitation for
the sale or purchase of any specific securities, investments, or
investment strategies.
Speaker 1 (34:46):
Investments involve risk, and, unless otherwise stated or are not guaranteed.
Speaker 2 (34:50):
Information expressed does not take into account your specific situation
or objectives, and is not intended as recommendations appropriate for
any individual.
Speaker 1 (34:59):
Listeners are incur uraged to seek advice from a qualified tax, legal,
or investment advisor to determine whether any information presented may
be suitable for their specific situation.
Speaker 2 (35:08):
Past performance is not indicative of future performance.
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